A structured learning repository for mastering AI/ML concepts and applications.
Develop deep expertise in AI/ML (5-6 month roadmap) with focus on:
- Deep learning fundamentals
- Physics-informed machine learning
- Applications to propulsion systems and engineering
learning-ai/
├── notebooks/ # Jupyter notebooks for exploration
├── scripts/ # Python scripts and experiments
├── data/ # Datasets (gitignored)
├── models/ # Trained models (gitignored)
└── notes/ # Learning notes and reflections
- Set up virtual environment:
python -m venv venv && source venv/Scripts/activate(Windows) - Install dependencies as needed
- Work through notebooks and scripts
Created as part of comprehensive AI learning journey.